class_docstr: Retryable iterator of ExecutePlanResponses to an ExecutePlan call.
  
  It can handle situations when:
    - the ExecutePlanResponse stream was broken by retryable network error (governed by
      retryPolicy)
    - the ExecutePlanResponse was gracefully ended by the server without a ResultComplete
      message; this tells the client that there is more, and it should reattach to continue.
  
  Initial iterator is the result of an ExecutePlan on the request, but it can be reattached with
  ReattachExecute request. ReattachExecute request is provided the responseId of last returned
  ExecutePlanResponse on the iterator to return a new iterator from server that continues after
  that. If the initial ExecutePlan did not even reach the server, and hence reattach fails with
  INVALID_HANDLE.OPERATION_NOT_FOUND, we attempt to retry ExecutePlan.
  
  In reattachable execute the server does buffer some responses in case the client needs to
  backtrack. To let server release this buffer sooner, this iterator asynchronously sends
  ReleaseExecute RPCs that instruct the server to release responses that it already processed.
code: def _create_reattach_execute_request(
      self,
  ) -> pb2.ReattachExecuteRequest:
      reattach = pb2.ReattachExecuteRequest(
          session_id=self._initial_request.session_id,
          user_context=self._initial_request.user_context,
          operation_id=self._initial_request.operation_id,
      )
  
      if self._initial_request.client_type:
          reattach.client_type = self._initial_request.client_type
  
      if self._last_returned_response_id:
          reattach.last_response_id = self._last_returned_response_id
  
      return reattach
  
imports: from pyspark.sql.connect.client.retries import Retrying, RetryException
  from pyspark.sql.connect.utils import check_dependencies
  from threading import RLock
  import warnings
  import uuid
  from collections.abc import Generator
  from typing import Optional, Any, Iterator, Iterable, Tuple, Callable, cast, Type, ClassVar
  from multiprocessing.pool import ThreadPool
  import os
  import grpc
  from grpc_status import rpc_status
  import pyspark.sql.connect.proto
  import pyspark.sql.connect.proto.base_pb2_grpc
  from pyspark.errors import PySparkRuntimeError
label_desc: Use image node_id 9 for calling the ExecutePlanResponseReattachableIterator obj's underlying member method code with example usage: obj._create_reattach_execute_request() and returns: reattach